冠状动脉疾病的机会性查:一个未开发的人口健康资源
Rubab F Malik1, Kristie J Sun1, Javad R Azadi2
1Johns Hopkins University School of Medicine, Baltimore, Maryland.
Journal of the American College of Radiology : JACR
|February 21, 2024
概括
在常规的胸部CT检测中发现的偶然冠状动脉 (iCAC) 表明了显著的心血管风险. 报告iCAC可以导致更早的诊断和治疗,可能降低死亡率. 人工智能工具可以帮助这个过程.
科学领域:
- 放射学 放射学是一门学科.
- 心脏病学 心脏病学
- 医疗成像医学成像
背景情况:
- 冠状动脉疾病 (CAD) 是导致死亡的主要原因.
- 电心电图带入冠状动脉 (CAC) CT屏幕风险成年人.
- 偶然的CAC (iCAC) 经常在非心脏CT中发现,但没有报告.
研究的目的:
- 为了确定iCAC在常规胸部CT上的临床意义.
- 评估iCAC报告对患者治疗结果和管理的影响.
主要方法:
- 系统文献综述 关于MEDLINE,Embase和SCOPUS的系统文献综述.
- 提取关于iCAC识别,报告,管理和结果的数据.
- 分析ICAC与心血管事件之间的关联.
主要成果:
- 83项研究证实ICAC与心血管疾病发病率和死亡率的增加有关.
- 放射科医生仅在31%-44%的病例中报告了iCAC.
- 报告ICAC导致71%的研究增加了预防性药物处方.
- 人工智能工具可靠地计算非心脏CT上的Agatston分数.
结论:
- 患有胸部CT上ICAC的患者患有心血管事件的风险较高.
- 对iCAC的统一报告提供了早期风险识别的机会.
- 在CT上得到AI验证的Agatston评分可以促进iCAC报告的广泛采用.
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